Remote Data Engineering & Analytics Jobs

Bennett Aerospace Inc., a subsidiary of Three Saints Bay, LLC, and a Federal Government Contractor industry leader, isseeking a highly motivated Data Engineer / GIS Specialist to design data integration and visualization tools that make complex Hydrogeomorphic (HGM) assessment results accessible to decision-makers. The successful candidate will develop structured databases, interactive dashboards, and spatiotemporal visualizations that support ecosystem restoration and regulatory decision-making. Position Responsibilities Build databases and integration workflows for HGM data outputs. Design and develop dashboards, graphics, and visualizations to communicate spatiotemporal trends and ecological metrics. Collaborate with scientists and engineers to ensure visualizations reflect functional assessment outputs accurately. Apply user-centered design principles to ensure tools are intuitive and decision-focused. Produce technical documentation, figures, and reports for internal and external stakeholders. Position Requirements: Bachelor’s degree in Information Systems, Data Engineering, GIS, or related field (Master’s a plus). 5–7 years of experience developing databases, dashboards, and data visualizations. Proficiency with GIS platforms (e.g., ArcGIS), dashboarding tools (e.g., Tableau, Power BI), or custom web visualization frameworks. Demonstrated ability to translate complex data into accessible, decision-ready tools. Excellent communication and collaboration skills, especially

Bennett Aerospace Inc., a subsidiary of Three Saints Bay, LLC, and a Federal Government Contractor industry leader, isseeking a highly motivateda Data Scientist to develop automation frameworks and analytical models that accelerate the interpretation of ecological field data within the Hydrogeomorphic (HGM) approach. The successful candidate will design, test, and implement algorithms that streamline functional assessments and ensure consistent outputs across geographic regions and mission areas. Position Responsibilities Develop algorithms and automated workflows to process field-collected ecological data. Build data pipelines and scripts in R, Python, or equivalent tools to support reproducible analysis. Ensure automation tools generate consistent, defensible outputs for wetland functional assessments. Conduct verification and validation using test datasets and iterative refinement. Deliver technical documentation, user guides, and reports to support tool deployment and peer review. Position Requirements: Master’s degree in Data Science, Statistics, Computer Science, or related field (PhD preferred). 5–10 years of experience in data analysis, modeling, and automation workflows. Proficiency in R, Python, and statistical modeling techniques. Experience working with ecological, environmental, or engineering datasets preferred. Strong analytical and problem-solving skills, with proven ability to translate complex data into decision-support products. Security Requirements: Must

Headquarters: California URL: https://imerit.ai/ About the opportunity We’re seeking detail-oriented professionals to review AI-generated content and annotated data for accuracy, clarity, and consistency. This role is well suited to candidates with backgrounds in editing, teaching, instructional design, quality assurance, research, or AI data annotation. You will apply detailed written guidelines, identify subtle errors, and explain your decisions clearly. Assignments may include written content, image comparisons, and other evaluation tasks that require sustained focus and independent judgment. What you will do Review AI-generated responses and annotated data against project guidelines and scoring rubrics. Identify errors, inconsistencies, unsupported statements, and cases that require further review. Write clear, specific feedback explaining what is incorrect and how it should be improved. Compare images or video frames to identify subtle visual differences, where required. Maintain consistent judgments across lengthy tasks and multiple documents. Incorporate feedback and participate in calibration exercises to align with project standards. Flag unclear guidelines and recommend improvements to rubrics, SOPs, or review instructions. Manage assignments independently and meet agreed quality and delivery expectations. To apply: https://weworkremotely.com/remote-jobs/imerit-technology-ai-data-quality-specialist-ai-trainer

Our client is a global leader in fire protection, delivering advanced fire detection and fire suppression solutions for mission-critical environments where uptime, asset protection, and operational resilience are paramount. Their technologies are trusted worldwide across commercial, industrial, infrastructure, and high-risk sectors. Within the rapidly expanding data centre sector, our client provides integrated fire safety solutions specifically engineered to protect critical digital infrastructure, minimise downtime, and safeguard people and assets. Their systems combine ultra-early warning detection, intelligent control technologies, and highly effective suppression solutions tailored for white space environments, electrical rooms, battery energy storage systems, UPS rooms, generator halls, and associated plant areas. On the detection side, the company offers advanced smoke detection, aspirating smoke detection, heat detection, intelligent alarm panels, and integrated monitoring platforms that enable immediate identification of fire events and rapid response. On the suppression side, they provide sprinkler monitoring systems, Fire Sprinkler Systems, Nitrogen / Corrosion Solutions, Special Hazard / Releasing Systems, Explosion Proof Devices and Industrial Controls systems, designed to meet the unique requirements of modern data centre facilities. Renowned for engineering excellence, innovation, and compliance with international standards, our client is a preferred partner to

Company Description See how Epsilon powers connected marketing by unlocking the full potential of data and identity. Overview Employer: Epsilon Data Management LLC Job Title: Lead, Big Data Administrator Job Requisition: 6630.7112.9 Job Location: Irving, Texas Job Type: Full Time Responsibilities Duties: Responsible for deploying and managing large-scale distributed systems, ensuring their performance, availability, and scalability; Oversee the installation, configuration, and maintenance of Hadoop ecosystems, including HDFS, Yarn, Hive, and Spark, as well as Kafka clusters; Implement and manage high-availability and disaster recovery strategies for both Hadoop and Kafka environments; Performance tuning, including resource allocation, cluster optimization, and monitoring, is a core responsibility to maintain system efficiency; Handle data pipeline orchestration and ensure seamless integration between Kafka producers, consumers, and downstream processing frameworks; Ensuring data security through encryption, access control, and auditing mechanisms; Troubleshoot and resolve complex issues related to cluster health, data loss, or Kafka offsets while maintaining minimal downtime; Automation of repetitive tasks using tools like Ansible, shell scripting in order to enhance the operational efficiency; Collaborate closely with development, data engineering, and analytics teams to support evolving business requirements and optimize workflows; and Staying updated with emerging technolo

Overview DecisionPoint seeks a Senior Database and Application Support Engineer to support database availability, application operations, service restoration, component upgrades, and recovery validation for the USMEPCOM ENLIST program. The Database and Application Support Engineer will diagnose database outages, application dependencies, connection failures, unavailable services, certificate problems, and API-related issues. This role will support troubleshooting and restoration across database, application, middleware, server, network, cloud, and security components. The engineer will coordinate operational response with Task 4 enterprise IT teams and work with Task 7 software-development teams when resolution requires application-code analysis or correction. The role will focus on production support, infrastructure integration, recovery, and technical coordination rather than serving as the primary application developer. This position is remote, with a preference for candidates located in the Chicago area. After-hours work may be required during outages, deployments, maintenance windows, upgrades, and recovery activities. Note: By applying to this position, you acknowledge and consent to having your resume included in an active competitive government contract bid. Duties & Responsibilities The Database and Application Support Engineer will: Monitor and support the availability, performance, health, and recoverability of enterprise databases and applications. Diagnose da

At First Advantage (Nasdaq: FA), people are at the heart of everything we do. From our customers and partners to our greatest advantage — our team members. Operating with empathy and compassion, First Advantage fosters a global inclusive workforce devoted to the diverse voices that make up our talent and products. Our team members empower each other to be their authentic selves and treat all with respect, integrity, and fairness. Say hello to a rewarding career and come join a leading provider of mission-critical background screening solutions to some of the most recognized Fortune 100 and Global 500 brands. What You'll Do: The Strategic Customer Success Data Analyst plays a key client-facing role, partnering with high-value accounts to uncover needs, define strategies, and deliver data-driven solutions that support business goals. This role leverages analytics, reporting, and visualization tools to monitor program health, track user adoption, and identify risks or opportunities that impact account performance and retention. Serving as a liaison between clients and internal teams, the analyst ensures service excellence by managing service center requests, analyzing key data points, and delivering clear, actionable insights through frequent, professional communication. Proven ability to adopt new technologies quickly, uphold SLAs and CSAT standards, and build lasting client relationships is essential to success in this role. This is a 100% remote position, individual must be o

Discover your 100% YOU with MicroSourcing ! Position: Data Engineer Location: Philippines Work setup & shift: Remote | Day shift Why join MicroSourcing ? You'll have: Competitive Rewards: Enjoy above-market compensation, healthcare coverage on day one, plus one or more dependents, paid time-off with cash conversion, group life insurance, and performance bonuses. A Collaborative Spirit: Contribute to a positive and engaging work environment by participating in company-sponsored events and activities. Work-Life Harmony: Enjoy the balance between work and life that suits you with flexible work arrangements. Career Growth: Take advantage of opportunities for continuous learning and career advancement. Inclusive Teamwork: Be part of a team that celebrates diversity and fosters an inclusive culture. Your Role: As a Data Engineer, you will: Support existing customer implementations and troubleshoot database and data-related issues, providing timely and effective solutions. Design, develop, and maintain data pipelines, ETL (Extract, Transform, Load) processes, and data integration solutions. Develop and maintain data quality checks and monitoring processes to ensure data accuracy, completeness, and reliability. Assist customers in debugging ETL issues, particularly those in the Australasia region. Write Python scripts to automate processes and tasks, improving efficiency and reliability. Collaborate with customers and internal stakeholders to understand data requirements and deli

📋 Tasks and Responsibilities In this role, you will contribute to the further development of data products related to asbestos inventories and quality assurance. You will process data from an existing web application that flows via messages to an Azure data platform, where they are further transformed into data models and a star schema for reporting in Power BI. You support the business with reliable insights to visualize and analyze the progress of the asbestos project. In addition, you contribute to a supporting component of the quality assurance system, in conjunction with the existing application and checks by external certification bodies. You will also assist within a machine learning trajectory to make data available in a usable manner for the selection of asbestos inventories eligible for in-depth inspection. You will work on data analysis, data warehouse modeling, creating data models, data migration, and reporting, among other things. In doing so, you coordinate with various stakeholders and use tools such as SQL, dbt, Power BI, and Atlassian tools. Experience with AI-driven development is relevant here. 📝 Your Profile You have a higher education degree at the bachelor's or master's level with a technical or engineering background, or equivalent experience. You have demonstrable experience as a data analyst with the required technology or a comparable technology. You possess a medior level in data analysis and Power BI, and have practical experience.

Job Type: Full-Time | Location: Dallas / Fort Worth, Texas | Department: Engineering | Reporting to: Global Director, Asset Management and Operational Excellence | Work Location Type: #remote IREN is a vertically integrated AI Cloud provider, delivering large-scale data centers and GPU clusters for AI training and inference. IREN ’s platform is underpinned by its expansive portfolio of grid-connected land and power in renewable-rich regions across North America, Europe and APAC. Reporting to the Global Director, Asset Management & Operational Excellence, the Associate Director, Data Center Infrastructure Readiness & Performance is accountable for taking IREN ’s data centre infrastructure and facilities from construction and commissioning into operations, and for the operating standards and performance governance that keep them reliable through their operating life. The role is the liaison from design engineering and construction through commissioning into Operations: it brings Operations along through the L1 to L5 commissioning stages and accepts each stage on behalf of Operations. It sets the operating parameters, guardrails and risk-based limits that protect asset health and reliability, and owns the performance frameworks, KPIs and governance processes that let the fleet scale while maintaining reliability. The role leads the Operational Excellence & Compliance pillar, growing from a team of one to a multi-site team of Operational Readiness & Compliance Lea

We are currently looking for eCommerce Tracking & Data Insights Manager/Specialist with strong skills and proven experience for a full-time engagement. Typical Day-to-Day Responsibilities: Analyze user behavior across the entire conversion funnel (Landing Page → Product Detail Page → Cart → Checkout) using Google Analytics 4 (GA4), Matomo , and heatmap tools. Identify drop-off points and develop actionable optimization hypotheses. Plan, prioritize, and evaluate A/B tests and multivariate tests . Create and maintain dashboards in Power BI or Looker Studio for various stakeholders. Combine onsite analytics data (GA4/Matomo) with inventory data, pricing information, weather data, and internal performance metrics to generate meaningful business insights. Collaborate closely with the Performance Marketing, Customer Experience (CX), and Operations teams to drive data-informed improvements. Conduct cross-market analyses and country-specific optimizations for Germany, Austria, Switzerland, the Netherlands, Belgium, France, and Poland . Continuously improve tracking implementation and attribution models. Required Tools & Technologies: Google Analytics 4 (Enhanced Ecommerce) – advanced proficiency Matomo (or similar open-source analytics solutions) Shopify (Analytics, Liquid, Apps) Power BI or Looker Studio for dashboard creation and reporting Heatmap and session recording tools (e.g., Hotjar, Microsoft Clarity ) A/B testing platforms (e.g., Google Optimize, VWO, Optimizely ) S

📋 Tasks and Responsibilities Within a strategic modernization trajectory of the Central Market System (CMS), the federal clearinghouse of the Belgian energy market, we are looking for a Senior Data & Solution Architect. In this role, you will guide the architectural design for the renewal of the CMS platform. You will combine knowledge of existing enterprise and data platform architectures with experience in modern cloud-native solutions within the Microsoft Azure ecosystem. You will design and safeguard the data and solution architecture within the CMS modernization trajectory. You will analyze the current application and data architecture and determine target architectures for the future. You will design scalable, secure, and maintainable cloud-native solutions on Azure. You will advise development teams and stakeholders on architectural guidelines, best practices, and technical choices. You will ensure integration between existing systems and new architectural components. You will support governance, security, and compliance requirements within the architecture domain. You will actively contribute to technical decision-making and the architectural roadmap. You will be responsible for the management and support of the Azure DevOps environment. The environment is situated within the Belgian energy sector and focuses on data exchange between market parties at the distribution level. 📝 Your Profile You have experience as a data architect in multiple projects with complex data architecture issues. You have demonstrable ken

We’re looking for a Junior Data Scientist to join our tech team and help build the future of neuro-contextual advertising at global scale. Who We Are At Seedtag , our mission is to transform advertising by proving that effectiveness and user privacy can truly coexist. As the leading Neuro-Contextual Advertising Company, we combine Artificial Intelligence, Natural Language Processing, Computer Vision, and neuroscience to understand not only what content is about, but how it makes people feel and what they intend to do next. Our proprietary AI, Liz, enables brands to connect with audiences across the open web and Connected TV without cookies or user tracking. Founded in 2014 by two ex-Googlers, Seedtag has grown to 500+ Seedtag gers in 17 countries, backed by €250M in funding, and operates today as a global ad-tech leader. If you enjoy solving complex engineering challenges and building AI-driven systems at scale, you’ll feel right at home here. Your Challenge As our Junior Data Scientist, you will join our Insights team to transform contextual, audience, and campaign data into actionable insights for clients and commercial teams, leveraging Liz, Seedtag 's AI. Your main responsibilities will include: Data Pipelines & Analytics: Build and maintain pipelines to analyse campaign performance, audience behaviour, and contextual data across the open web and CTV. Analytical Models: Develop models for audience profiling, content analysis, campaign comparisons, and pre-campaign pla

Company : Highmark Health Job Description : Applicants must be authorized to work in the U.S. independently. At this time, we do not offer visa sponsorship for this role. The Summer 2027 Applied Gen AI/Data Scientist Graduate Internship offers an exciting opportunity for graduate students to work at the forefront of Artificial Intelligence innovation within healthcare. This internship is designed for highly motivated individuals who are passionate about applying Generative AI (GenAI), Large Language Models (LLMs), AI Agents, and emerging AI technologies to solve real-world healthcare challenges and improve experiences for members, clinicians, and business stakeholders. As a member of the AI Services and Platforms Research & Development Team , the intern will contribute to the design, development, and evaluation of innovative Generative AI solutions that support healthcare operations, member engagement, clinical workflows, and enterprise productivity. Working alongside experienced AI researchers, data scientists, machine learning engineers, and software developers, the intern will gain hands-on experience developing and prototyping cutting-edge AI applications while exploring novel use cases that advance Highmark's digital transformation and innovation objectives. The program provides practical exposure to the full lifecycle of applied AI development, including prompt engineering, Retrieval-Augmented Generation (RAG), AI Agents, orchestration frameworks, experimentation, m

Data Scientist, Analytics (Remote, Canada) Events in recent years have made us all too familiar with the havoc that natural disasters can wreak, and the increasing frequency and intensity with which they are occurring. Despite record levels of losses, conventional methods of risk modeling continue to paint at best an incomplete picture of these threats. ZestyAI uses novel data gathering and data science methods to produce higher quality information about the risks to property from catastrophes like storms and wildfires. While AI alone may not be able to thwart these disasters, it can help us become more prepared for them, and ultimately that will lead to better outcomes. As a Data Scientist, Analytics , you will work closely with product, engineering, and machine learning teams to apply data science to complex product and business problems.You will use diverse data sources to evaluate product performance, generate actionable insights, and support evidence-based decision-making across ZestyAI’s products.You will also help establish the analytical processes, monitoring frameworks, and best practices needed to maintain product quality and scale the organization. You thrive in a collaborative, creative environment that moves fast and are comfortable implementing structures and processes to help the company scale. The Opportunity: Translate product management, engineering, and business questions into structured analytical approaches, applying appropriate statistical, experimental,

About Codat Codat is an advisory intelligence solution purpose-built for modern commercial banking. Through rich, specialized data, forward-looking insights, and integrated workflows, Codat empowers banking teams to deepen their relationships, grow their revenue, and simplify their day-to-day work. Founded in 2017 and backed by JPMorgan, PayPal, Amex, Plaid, and Shopify, Codat has successfully powered over 350,000 connections to business customers’ financial systems — and is trusted by industry leaders to turn scattered information into actionable, strategic advantages in real time, every time. The Role We're building the Advisory Intelligence Platform: Codat's client intelligence delivered inside the assistant a banker already uses (Microsoft Copilot first). Ask it anything about a client and it answers from the client's real books. Don't ask, and it still tells you what's changed, why it matters and what to do about it. Under it we're building the semantic layer, so every answer uses the same definitions, the signal layer that spots what's changed for a client, and the reasoning layer, a Codat-side LLM that turns those signals into advice. The first bank goes live this year. You'll be building the data and reasoning behind all of it. This is a hands-on job for software engineers who want to build the systems a model reasons over, not configure a warehouse. Codat is AI-first, not AI bolted onto SaaS. The product lives inside the AI assistant our clients already use

Your Role as a Data Entry Specialist: As a Data Entry Specialist, you will enter information from a variety of sources into our systems, helping ensure our clients receive reliable, high-quality data. This role is ideal for someone who is detail-oriented, organized, and enjoys working in a fast-paced environment. A Day in the Life of a Data Entry Specialist: In this role, you will analyze and process information from filings and other digital sources, accurately entering data into our systems while following established standards and procedures. You will review records for completeness and accuracy, identify and correct discrepancies, and ensure data integrity before submission. You’ll work independently while collaborating with teammates to meet production goals and quality standards. Throughout the day, you may also track corrections, identify trends or recurring issues, and contribute to process improvements that enhance data quality and efficiency. Key Responsibilities Enter data accurately and efficiently into internal systems following established formatting and classification standards. Review records for completeness, accuracy, and consistency. Identify and correct omissions, formatting issues, and logical inconsistencies. Track edits, corrections, and exceptions to support auditing and continuous process improvement efforts. Meet productivity and quality expectations in a high-volume environment. Collaborate with team members to ensure timely completion of work. What

🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀 At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning. We are looking for an analytical, curious, and business-minded Data Scientist Senior 🐶🚀 to join one of our key engagements with a leading beverage company in Mexico. You will be the go-to person for measuring what really works in growth and marketing: designing experiments, estimating causal impact, and turning the results into decisions that drive customer acquisition, retention, and revenue. This role sits at the intersection of statistics, economics, and marketing. You will work closely with marketing, growth, and commercial stakeholders, as well as with Data Engineers and Analytics Engineers, to move beyond correlations and answer questions like "Did this campaign actually cause an increase in sales?" or "Which promotions and channels deserve more budget?". A strong analytical profile, methodological rigor, and the ability to communicate findings to non-technical audiences are essential. A background in Economics (or similar quantitative fields) is highly valued. 🚀 What We Do Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting. Developing scalable data infrastructures, we enhance high-level decision-m

DATA ANALYST – TABLEAU AND SQL BUSINESS INTELLIGENCE DASHBOARD www.bhproperties.com COMPANY BH Properties is a privately held commercial real estate investment firm focused on value-add acquisitions in office, industrial, retail, and multi-family properties throughout the Western United States, along with investments in distressed debt and ground leases. The Company is vertically integrated, with offices in Los Angeles, Riverside, San Francisco, San Diego, Seattle, Phoenix, Austin, Dallas, and Houston, and is able to acquire and close transactions without the need for lengthy due diligence periods. Our 32-year track-record and balance sheet allow us to move quickly and creatively, structuring acquisitions to satisfy seller needs in a highly competitive market. Today, the Company owns and operates approximately 10M square feet across 18 states. POSITION The Data Analyst will be responsible for designing, developing, and implementing interactive dashboards that provide meaningful insights and analysis to our business stakeholders. The ideal candidate will have a strong understanding of data visualization principles and the ability to transform raw data into meaningful visualizations. The main responsibilities of this role include gathering requirements, designing, and developing the dashboard, and ensuring its functionality and usability. The candidate should also have experience in data modeling and be able to optimize the performance of the dashboard. LOCATION This position w

Company : enGen Job Description : Applicants must be authorized to work in the U.S. independently. At this time, we do not offer visa sponsorship for this role. The Summer 2027 Enterprise Master Data Management (MDM) Analyst Graduate Internship provides graduate students with an opportunity to gain hands-on experience supporting enterprise data management, data quality, and data governance initiatives across a leading healthcare organization. This internship is designed to develop the next generation of data and business professionals by providing direct exposure to Enterprise Master Data Management practices, healthcare data domains, cloud-based data platforms, and strategic data management initiatives. As a member of the Enterprise Master Data Management team, the intern will work closely with data management professionals, business stakeholders, data governance teams, and technology partners to support projects involving critical enterprise datasets, including Prospects, Leads, Healthcare Practitioners, and Healthcare Organizations . Participants will gain valuable insight into how high-quality, trusted enterprise data supports business operations, analytics, customer engagement, regulatory requirements, and strategic decision-making across the organization. The program provides hands-on training and exposure to a variety of career opportunities within Data Management, Data Governance, Healthcare Analytics, Information Management, Data Quality, Business Intelligence, and E

The Data Architect ensures that our company's data remains structurally correct, consistent, and business-relevant, even as business processes, requirements, and digital solutions evolve. This is an experienced specialist role at the intersection of business, data, and technology, with clear responsibility and decision-making authority regarding data structuring and modeling. The Data Architect works closely with business departments and subject matter experts to understand and critically question business rules. They translate these into robust data models and manage their implementation and evaluation within our digital solutions. The goal is to ensure that data-driven decisions support reliable operations, reporting, analytics, and future use cases. Requirements Data Modeling & Business Rules Responsibility for the development, maintenance, and enhancement of central, enterprise-wide data models, including definitions, relationships, identifiers, and structures of key data domains. Collaboration with business departments and subject matter experts to understand, critically question, and further develop business rules. Translation of functional, regulatory, product-related, and reporting requirements into robust and technically feasible data models. Decision-making on how agreed-upon business rules and standards are applied in data structures.

Hello, our name is Customertimes , but you can call us CT. We are a global digital engineering, product development, and technology consulting company. Headquartered in New York, we have a team of 1000+ experts working across 65+ countries. About this job: We are looking for a highly skilled Business Analyst with a strong data background to join our team. The ideal candidate will be responsible for translating business needs into technical requirements and ensuring seamless communication between both technical and non-technical stakeholders. The position requires proficiency in data analysis and SQL, as well as experience with Power BI . Experience in the CPG sector is desirable . Location: 100% remote - Ukraine, Albania, Bosnia and Herzegovina, Bulgaria, Croatia, Kosovo, Montenegro, North Macedonia, Serbia, Romania, Slovenia, Czechia, Estonia, Hungary, Latvia, Lithuania, Poland, Slovakia How you'll make an impact: Translate business requirements into detailed technical specifications; Maintain documentation such as transformation rules, data dictionaries, and metric definitions; Design and implement mappings between multiple data sources; Analyze and interpret data to support business decision-making; Collaborate with both technical teams and business stakeholders to ensure alignment of project objectives; Develop and maintain reports and dashboards using Power BI; Provide support in data extraction, transformation, and analysis using SQL; Conduct stakeholder surveys, worksh

About us: Branch is on a mission to empower workers with financial freedom. We do this by helping companies accelerate payments and providing working Americans with accessible, free financial services. We’re committed to building and delivering more inclusive, transparent, and frictionless financial products. Our goal of empowerment extends to our own employees, too. Have a great idea? Share it today and it might just get implemented tomorrow. As a member of our team, your voice and creativity matter—and they can directly impact our products, company, and culture. We not only focus on attracting great talent from across the country, but also on building teams that help that talent thrive. That means valuing a diversity of opinions and working styles, while creating a shared belief in innovation, initiative, and winning together. Come join our team as we develop new ways to improve the lives of working Americans. About the role: Branch helps millions of workers get paid faster and manage their money better. Our team is responsible for the data that drives many critical processes at Branch , including money movement, automated fraud response, and client reporting. We're looking for a Data Engineer to join our Data Engineering team. In this role, you’ll work with other engineers and stakeholders to build and maintain the pipelines that power the rest of Branch . You'll deliver new pipelines and build the underlying components (hooks, utilities, internal libraries) that future pi

At Netflix , our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The Data Platform teams at Netflix enable us to leverage data to bring joy to our members in many different ways. We provide centralized data platforms and tools for various business functions at Netflix , so they can utilize our data to make critical data-driven decisions. We do all the heavy lifting to make it easy for our business partners to work with data efficiently, securely, and responsibly. We aspire to lead the industry standard in building a world-class data infrastructure, as Netflix leads the way to be the most popular and pervasive destination for global internet entertainment. We are looking for distributed systems engineers to help evolve and innovate our infrastructure. We are committed to building a diverse and inclusive team that will bring new perspectives as we solve the next set of challenges. In addition, we are open to remote candidates. We value what you can do from anywhere in the U.S. Spotlight on Data Platform Teams: Storage and Movement Infrastructure The Storage and Movement Infrastructure (SMI) team builds the core infrastructure that powers Netflix ’s online data stores and